View clinical trials related to Consciousness Disorders.
Filter by:The aim of the study, which was planned in the experimental design type, was to determine the effect of the mindfulness-based stress reduction training on nurses' job stress. The sample of the study consisted of 70 nurses (35 in the experimental group, 35 in the control group) working in a university hospital in Çanakkale. The mindfulness-based stress reduction training was carried out as a group, once a week, for 8 weeks in total.
Caregivers of patients with disorders of consciousness are highly prone to developing mental health issues. The aim of this study is to investigate the psychological symptoms and care burden of caregivers of patients with disorders of consciousness (DoC), and to examine which characteristics of patients were burden predictors to caregivers.
The goal of this observational retrospective study is to investigate and compare the clinical evolution of a sample of patients with the diagnosis of MCS+ versus MCS- according to the CRS-R. The main questions it aims to answer are the presence of differences in the likelihood of emergence from the MCS (EMCS) between these two groups and in the progress of disability and functional independence after the EMCS.
Background: The Coma Recovery Scale-Revised (CRS-R) is the most recommended instrument to examine the neurobehavioral condition of individuals with disorders of consciousness (DOCs). Different studies have investigated the prognostic value of the information provided by the conventional administration of the scale, while other measures derived from the scale have been proposed to improve the prognosis of DOCs. However, the heterogeneity of the data used in the different studies prevents a reliable comparison of the identified predictors and measures. Objectives: This study investigates which information derived from the CRS-R provides the most reliable prediction of both the neurobehavioral state and recovery of consciousness at the discharge of a long-term neurorehabilitation program. Methods: The clinical records of 171 individuals with DOCs admitted to an inpatient neurorehabilitation program for a minimum of 3 months were used to implement machine learning classifiers that were trained to predict the neurobehavioral state and recovery of consciousness at discharge.
Identify potential markers of recovery through event-related potentials (ERPs) in the evolution of altered consciousness with potential ability to discriminate between different conditions of altered state of consciousness. Identify potential markers with prognostic value, in order to identify personalized and specific intensive rehabilitation paths based on the outcome indexes obtained.
Demonstrating that diagnostics of the state of consciousness and cognitive functions of patients with consciousness disorders performed using C-Eye X (based on eye-tracking technology) allows a more objective assessment of state of patients who were wrongly diagnosed based on popular methods using in a clinical practice (like behavioural scales on paper forms).
The aim of this study was to translate the SECONDs from French into Chinese and assess the validity and reliability of the Chinese version of the SECONDs .
BACKGROUND: Transient loss of consciousness (TLOC) - defined as spontaneous disruption of consciousness not due to head trauma and with complete recovery - has a lifetime prevalence of 50%. It is one of the commonest neurological complaints in primary and emergency care. Over 90% of TLOC is due to either syncope, epilepsy or dissociative seizures (DS, also known as 'Psychogenic Nonepileptic Seizures'). The rapid and accurate distinction of these diagnoses is vital to allow appropriate further management but at least 20-30% of patients are not managed optimally or misdiagnosed. We have previously demonstrated that, in patients with established diagnoses of epilepsy, syncope, or DS, an automated classifier using only information from 36 questions based on patient experience and lay witness reports (the initial Paroxysmal Event Profile, iPEP) could accurately diagnose 86.0% of patients (with 100% sensitivity and 91.7% specificity for syncope) AIMS: To calibrate the iPEP for discrimination between syncope, epilepsy, and DS in patients newly presenting with TLOC, validate its performance in an independent sample, and to explore acceptability of the use of such a tool to people with TLOC and witnesses. METHODS: Nested qualitative-quantitative prospective single-centre development and validation of the iPEP in patients presenting to Emergency Departments, syncope or epilepsy clinics with first presentations of TLOC, with semi-structured interviews conducted with a purposive sample of participants from the quantitative study. The iPEP will be calibrated using a previously-described procedure for variable selection and training of Random Forest (RF) classifiers, and validated with assessment of overall classification accuracy, alongside sensitivity, specificity, positive and negative predictive values, and area under receiver-operating curve for each of the three target diagnoses. Performance will be evaluated against a benchmark set by results from previous research in patients with established diagnoses of epilepsy, syncope, and DS. OUTPUTS: Results will be submitted for publication in academic and professional literature. If performance from feasibility can be replicated in validation, the iPEP will be suitable to begin process of registration as a medical device for implementation in clinical pathways to minimise inappropriate referrals and treatment, streamline patient pathways, and enable earlier ordering of appropriate investigations to ensure prompt and appropriate diagnosis and management. If pilot performance could be replicated in this population and proportional savings from current estimated costs of misdiagnosis achieved, this could potentially save £63.9 million of annual UK healthcare expenditure.
The aim of the presented study is to examine the effectiveness of sensory stimulation in reducing pain and stress of patients diagnosed with Disorder of consciousness.
The aim of this study is to evaluate the effect of nutraceutical supplement on depressed mood and anhedonia in volunteers after 8 weeks of consumption.